Professor Kwang-Cheng Chen

Talk: Wireless Robotic Communications and Impacts on IoT Security
Abstract: When applying artificial intelligence and machine learning to wireless communications and networking emerges as the most critical technology, the way that wireless networking impacts on artificial intelligence and thus Internet of Things (IoT) is not clear. In this presentation, how wireless networking can improve multi-robot systems has been introduced, which indicates the fundamental difference between human-to-human communications and machine-to-machine communications. Further investigations on sequential decision process for each agent/robot indicates surprising results if considering wireless networking, different from common intuition. It suggests wireless network topology and physical interactions of robots to form an interesting but little known situation in cyber-physical systems and new cybersecurity threats to IoT of smart machines can be identified with application scenarios such as autonomous vehicles and smart factory. 
Speaker's Bio

Kwang-Cheng Chen has been a Professor at the Department of Electrical Engineering, University of South Florida, since 2016. From 1987 to 2016, Dr. Chen worked with SSE, Communications Satellite Corp., IBM Thomas J. Watson Research Center, National Tsing Hua University, HP Labs., and National Taiwan University in mobile communications and networks, and advised another two top fabless IC design companies and VCs. He founded a wireless IC design company, which was acquired by the MediaTek Inc. 3 years later. He has been actively involving in the organization of various IEEE conferences and serving editorships with a few IEEE journals (most recently as a series editor on Data Science and AI for Communications in the IEEE Communications Magazine, and as the Executive Chair, IEEE GLOBECOM 2020). Dr. Chen also has contributed essential technology to various international standards, namely IEEE 802 wireless LANs, Bluetooth, LTE and LTE-A, 5G-NR, and ITU-T FG ML5G. He has authored and co-authored over 300 IEEE publications, 4 books published by Wiley and River (most recently, Artificial Intelligence in Wireless Robotics, 2019), and more than 24 granted US patents (all licensed to industry). Dr. Chen is an IEEE Fellow and has received a number of awards including 2011 IEEE COMSOC WTC Recognition Award, 2014 IEEE Jack Neubauer Memorial Award, 2014 IEEE COMSOC AP Outstanding Paper Award. Dr. Chen’s current research interests include wireless networks, artificial intelligence and machine learning, IoT/CPS, social networks and data analytics, and cybersecurity.

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